A fuzzy tri-level decision making algorithm and its application in supply chain

Zhang, Z; Zhang, G; Lu, J; Guo, C

A fuzzy tri-level decision making algorithm and its application in supply chain

Zhang, Z Zhang, G

Lu, J

Guo, C

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Publication Type:: Conference Proceeding
Citation:: 8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research, 2013, 32 pp. 154 - 160
Issue Date:: 2013-12-01

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Field	Value	Language
dc.contributor.author	Zhang, Z	en_US
dc.contributor.author	Zhang, G https://orcid.org/0000-0003-3960-0583	en_US
dc.contributor.author	Lu, J https://orcid.org/0000-0003-0690-4732	en_US
dc.contributor.author	Guo, C	en_US
dc.date.issued	2013-12-01	en_US
dc.identifier.citation	8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research, 2013, 32 pp. 154 - 160	en_US
dc.identifier.isbn	9781629932194	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120407
dc.description.abstract	In this paper, we develop a fuzzy tri-level decision making (FTLDM) model to deal with decentralized decision making problems with three levels of decision makers. Based on the -cut of fuzzy set, we transform an FTLDM problem into a multiobjective tri-level decision making problem. Based on the linear tri-level Kth-best algorithm, the global optimal solution can be obtained. A case study for third-party logistics decision making in supply chain is utilized to illustrate the effectiveness of the proposed algorithm. © 2013. The authors-Published by Atlantis Press.	en_US
dc.relation.ispartof	8th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2013 - Advances in Intelligent Systems Research	en_US
dc.title	A fuzzy tri-level decision making algorithm and its application in supply chain	en_US
dc.type	Conference Proceeding
utslib.citation.volume	32	en_US
utslib.for	080105 Expert Systems	en_US
utslib.for	080605 Decision Support and Group Support Systems	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	32	en_US

Abstract:

In this paper, we develop a fuzzy tri-level decision making (FTLDM) model to deal with decentralized decision making problems with three levels of decision makers. Based on the -cut of fuzzy set, we transform an FTLDM problem into a multiobjective tri-level decision making problem. Based on the linear tri-level Kth-best algorithm, the global optimal solution can be obtained. A case study for third-party logistics decision making in supply chain is utilized to illustrate the effectiveness of the proposed algorithm. © 2013. The authors-Published by Atlantis Press.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/120407